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<div class="header">
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<a href="#pub-types">Public 类型</a> &#124;
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<div class="title">pcl::gpu::people::ProbabilityProcessor类 参考</div>  </div>
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-types"></a>
Public 类型</h2></td></tr>
<tr class="memitem:a224a79fd55a49be8bde63e149cfb5b22"><td class="memItemLeft" align="right" valign="top"><a id="a224a79fd55a49be8bde63e149cfb5b22"></a>
typedef boost::shared_ptr&lt; <a class="el" href="classpcl_1_1gpu_1_1people_1_1_probability_processor.html">ProbabilityProcessor</a> &gt;&#160;</td><td class="memItemRight" valign="bottom"><b>Ptr</b></td></tr>
<tr class="separator:a224a79fd55a49be8bde63e149cfb5b22"><td class="memSeparator" colspan="2">&#160;</td></tr>
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typedef <a class="el" href="classpcl_1_1gpu_1_1_device_array2_d.html">DeviceArray2D</a>&lt; unsigned short &gt;&#160;</td><td class="memItemRight" valign="bottom"><b>Depth</b></td></tr>
<tr class="separator:afe31a9ac161120bcbbfde89d7b1cbf3f"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ad9edda52f31d8280eba061d18809b1e8"><td class="memItemLeft" align="right" valign="top"><a id="ad9edda52f31d8280eba061d18809b1e8"></a>
typedef <a class="el" href="classpcl_1_1gpu_1_1_device_array2_d.html">DeviceArray2D</a>&lt; unsigned char &gt;&#160;</td><td class="memItemRight" valign="bottom"><b>Labels</b></td></tr>
<tr class="separator:ad9edda52f31d8280eba061d18809b1e8"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
Public 成员函数</h2></td></tr>
<tr class="memitem:a4a44222352c67f3e4d220b09060bb1dc"><td class="memItemLeft" align="right" valign="top"><a id="a4a44222352c67f3e4d220b09060bb1dc"></a>
void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1gpu_1_1people_1_1_probability_processor.html#a4a44222352c67f3e4d220b09060bb1dc">SelectLabel</a> (const <a class="el" href="classpcl_1_1gpu_1_1_device_array2_d.html">Depth</a> &amp;depth, <a class="el" href="classpcl_1_1gpu_1_1_device_array2_d.html">Labels</a> &amp;labels, <a class="el" href="classpcl_1_1gpu_1_1_device_array2_d.html">pcl::device::LabelProbability</a> &amp;probabilities)</td></tr>
<tr class="memdesc:a4a44222352c67f3e4d220b09060bb1dc"><td class="mdescLeft">&#160;</td><td class="mdescRight">This will merge the votes from the different trees into one final vote, including probabilistic's <br /></td></tr>
<tr class="separator:a4a44222352c67f3e4d220b09060bb1dc"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aaf3528410ce3cbe8c9af38cdef7760f8"><td class="memItemLeft" align="right" valign="top"><a id="aaf3528410ce3cbe8c9af38cdef7760f8"></a>
void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1gpu_1_1people_1_1_probability_processor.html#aaf3528410ce3cbe8c9af38cdef7760f8">CombineProb</a> (const <a class="el" href="classpcl_1_1gpu_1_1_device_array2_d.html">Depth</a> &amp;depth, <a class="el" href="classpcl_1_1gpu_1_1_device_array2_d.html">pcl::device::LabelProbability</a> &amp;probIn1, float weight1, <a class="el" href="classpcl_1_1gpu_1_1_device_array2_d.html">pcl::device::LabelProbability</a> &amp;probIn2, float weight2, <a class="el" href="classpcl_1_1gpu_1_1_device_array2_d.html">pcl::device::LabelProbability</a> &amp;probOut)</td></tr>
<tr class="memdesc:aaf3528410ce3cbe8c9af38cdef7760f8"><td class="mdescLeft">&#160;</td><td class="mdescRight">This will combine two probabilities according their weight <br /></td></tr>
<tr class="separator:aaf3528410ce3cbe8c9af38cdef7760f8"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:abdad7c104e7248f6da0aaf9bdea1611b"><td class="memItemLeft" align="right" valign="top"><a id="abdad7c104e7248f6da0aaf9bdea1611b"></a>
void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1gpu_1_1people_1_1_probability_processor.html#abdad7c104e7248f6da0aaf9bdea1611b">WeightedSumProb</a> (const <a class="el" href="classpcl_1_1gpu_1_1_device_array2_d.html">Depth</a> &amp;depth, <a class="el" href="classpcl_1_1gpu_1_1_device_array2_d.html">pcl::device::LabelProbability</a> &amp;probIn, float weight, <a class="el" href="classpcl_1_1gpu_1_1_device_array2_d.html">pcl::device::LabelProbability</a> &amp;probOut)</td></tr>
<tr class="memdesc:abdad7c104e7248f6da0aaf9bdea1611b"><td class="mdescLeft">&#160;</td><td class="mdescRight">This will sum a probability multiplied with it's weight <br /></td></tr>
<tr class="separator:abdad7c104e7248f6da0aaf9bdea1611b"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a7f4263c7a0ad11da134df18bf2a0168f"><td class="memItemLeft" align="right" valign="top"><a id="a7f4263c7a0ad11da134df18bf2a0168f"></a>
float *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1gpu_1_1people_1_1_probability_processor.html#a7f4263c7a0ad11da134df18bf2a0168f">CreateGaussianKernel</a> (float sigma, int kernelSize)</td></tr>
<tr class="memdesc:a7f4263c7a0ad11da134df18bf2a0168f"><td class="mdescLeft">&#160;</td><td class="mdescRight">This will create a Gaussian Kernel <br /></td></tr>
<tr class="separator:a7f4263c7a0ad11da134df18bf2a0168f"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a996eb440055d88f0993f237bfc5ea4c8"><td class="memItemLeft" align="right" valign="top"><a id="a996eb440055d88f0993f237bfc5ea4c8"></a>
int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1gpu_1_1people_1_1_probability_processor.html#a996eb440055d88f0993f237bfc5ea4c8">GaussianBlur</a> (const <a class="el" href="classpcl_1_1gpu_1_1_device_array2_d.html">Depth</a> &amp;depth, <a class="el" href="classpcl_1_1gpu_1_1_device_array2_d.html">pcl::device::LabelProbability</a> &amp;probIn, <a class="el" href="classpcl_1_1gpu_1_1_device_array.html">DeviceArray</a>&lt; float &gt; &amp;<a class="el" href="classpcl_1_1kernel.html">kernel</a>, <a class="el" href="classpcl_1_1gpu_1_1_device_array2_d.html">pcl::device::LabelProbability</a> &amp;probOut)</td></tr>
<tr class="memdesc:a996eb440055d88f0993f237bfc5ea4c8"><td class="mdescLeft">&#160;</td><td class="mdescRight">This will do a GaussianBlur over the LabelProbability <br /></td></tr>
<tr class="separator:a996eb440055d88f0993f237bfc5ea4c8"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a12ee2d9db932c5a6e5d8e2a4229d4ddf"><td class="memItemLeft" align="right" valign="top"><a id="a12ee2d9db932c5a6e5d8e2a4229d4ddf"></a>
int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1gpu_1_1people_1_1_probability_processor.html#a12ee2d9db932c5a6e5d8e2a4229d4ddf">GaussianBlur</a> (const <a class="el" href="classpcl_1_1gpu_1_1_device_array2_d.html">Depth</a> &amp;depth, <a class="el" href="classpcl_1_1gpu_1_1_device_array2_d.html">pcl::device::LabelProbability</a> &amp;probIn, <a class="el" href="classpcl_1_1gpu_1_1_device_array.html">DeviceArray</a>&lt; float &gt; &amp;<a class="el" href="classpcl_1_1kernel.html">kernel</a>, <a class="el" href="classpcl_1_1gpu_1_1_device_array2_d.html">pcl::device::LabelProbability</a> &amp;probTemp, <a class="el" href="classpcl_1_1gpu_1_1_device_array2_d.html">pcl::device::LabelProbability</a> &amp;probOut)</td></tr>
<tr class="memdesc:a12ee2d9db932c5a6e5d8e2a4229d4ddf"><td class="mdescLeft">&#160;</td><td class="mdescRight">This will do a GaussianBlur over the LabelProbability <br /></td></tr>
<tr class="separator:a12ee2d9db932c5a6e5d8e2a4229d4ddf"><td class="memSeparator" colspan="2">&#160;</td></tr>
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Private 属性</h2></td></tr>
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boost::shared_ptr&lt; <a class="el" href="classpcl_1_1device_1_1_probability_proc.html">pcl::device::ProbabilityProc</a> &gt;&#160;</td><td class="memItemRight" valign="bottom"><b>impl_</b></td></tr>
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<hr/>该类的文档由以下文件生成:<ul>
<li>gpu/people/include/pcl/gpu/people/<a class="el" href="probability__processor_8h_source.html">probability_processor.h</a></li>
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